Data management – the role it plays

Data management might sound a little obvious. But it is undoubtedly the most important piece in the world of data jigsaw. Without it, data would be free flowing, structure-less, meaningless. Data management gives data purpose and categorisation. It ensures it is of sound quality. It is about establishing the right governance, the rules and parameters that harness data and ensure it’s used in the right way. And when done properly, data management is the door opener to lots of other opportunities for the organisation.

The control tower of your organisation

If a control tower oversees the safe and efficient flow of air traffic, then data governance oversees the smooth and secure management of data assets. Done properly, it will help your organisation run more effectively and steal a march on competitors. But do you know where you are on a data governance maturity cycle? You should do. If you don’t, you might be embarking on initiatives that you aren’t ready for. A data maturity assessment is key if your data governance initiative is to fly high.

Speaking one language across a big organisation

These days organisations are swimming in data. But it’s often in separate departments, countries and systems and few organisations have one ‘version of the truth’ in data terms. Our brewing client was the same – they aspired to be the best-connected brewery in the world and they wanted to achieve it through excellent data management. Here is how the data team – comprising the brewer’s own people and Valcon – established a common business language.

Using a data catalog to find your way through the data jungle

It is estimated that 90% of the world’s data was generated in the last two years alone. And that the total amount of data created, captured, copied and consumed on a global basis is estimated to reach a breathtaking 180 zettabytes by 2025 (Statista). It is no wonder organisations find themselves in the midst of a data jungle with little idea of how to navigate it. Data catalogs make a great map. Here are some top tips for creating your data catalog.

How an automotive company used MDM to become a data driven supplier of spare parts

Supply chain issues have hit the automotive parts industry hard in the last few years since the pandemic. Our client felt their approach to data management was exacerbating this issue and also hindering their operational efficiency. They wanted to become a data driven organisation, so with Valcon, embarked on a master data management (MDM) programme. Read here to find out more about the project and about the benefits it brought.

The importance of data pools in improving product data

For food retailers, building an accurate picture of the product they put on their shelves is vital. They need to know the ingredients that went into that sandwich and where they came from – missing vital allergen information can have fatal consequences. So data alignment is absolutely crucial. It’s not an easy thing to accomplish – it requires accurate and complete data, all suppliers and retailers using the same data formats, and it requires close collaboration between these stakeholders. None of this is easy. But it becomes much easier when you bring a data pool into the picture.

Success factors for effective asset information management

For large companies with complex asset infrastructure, it is often very difficult to keep track of asset data such as design, specification, maintenance history, inspection results and outage information. But having it all nailed down in one place will help you to rein in costs and optimise your asset network. Asset information management (AIM) is a great place to start. Read about how to successfully approach an AIM programme here.

Clear Skies Ahead: Soaring to Customer 360 Excellence

Next generation Customer 360 reveals the true story of the customer. There might be a good reason why they haven’t paid their invoice – and if you have the full picture, you can approach that situation in the right way. But Customer 360 implementations can often go south. And the reason is often a lapse in data management and poor data governance. Get your approach right and the sky is the limit with your AI driven Customer 360 initiative.

Food producer uses data platform to spark organisational change

Our client – a global food production company – had grown significantly through acquisition and had over 30 production outlets in multiple countries. In data terms this caused significant problems as there was a lack of cohesion and it was difficult to get a strategic overview of the company’s operations. Valcon helped the firm develop its strategy on master data management and data analytics and implemented it in support of their corporate ‘one company’ strategy.

Data leakage – are you ready to plug the gap? 

Data leaks can cause untold damage – and need to be avoided at all costs. But if you don’t know what data you have, where it is stored or who is responsible for it, then you are vulnerable and at significant threat from a leak. The right data management and data governance approach will put you on the right track and help you do everything you can to avoid a data leak.

Helping a global port become a data led organisation

A large international port handling high levels of shipping traffic was facing the challenge of having to deal with large volumes of data across multiple systems. It also wanted to manage its energy consumption more effectively. And it knew the answer to these problems lay in effective data management. Valcon and Profisee worked together to implement a master data management (MDM) system for the port bringing benefits like an uplift in efficiency and insight into its energy consumption.

The future of artificial intelligence

The growth in the artificial intelligence (AI) market is set to skyrocket, with estimates of it being worth nearly $2trillion by 2030. AI already underpins a lot of things that we do – facial recognition on smart phones, Alexa and Siri, recommendations in e-commerce platforms. And large language applications like ChatGPT and BART have made a lot of headlines this year. There are the downsides. It’s not a perfect technology. There are worries of it getting into the hands of ‘bad actors.’ And it will displace a lot of jobs in the coming years. But the opportunities we have to improve life with AI are significant.

The rise of Machine Learning and how to make it a success

Machine learning has been around for much longer than you’d think. Back in the 1950s, IBM’s Arthur Samuels used an early form of machine learning while working on a program that played chequers. And in the last 70 years, machine learning has progressed a lot. We’re not quite at the stage where AI could apply itself to as many diverse problems as the human brain, but a majority of experts think we’ll be there some time within the next 100 years. As thousands of organisations eye up machine learning in terms of how it can improve their businesses, what are the key factors to bear in mind for a successful ML implementation?

The progression of chatbots to chatbot 3.0

ChatGPT has taken up acres of media coverage since its launch last November and conjecture about the changes it will bring and the professions it will wipe out. You’d be forgiven for thinking ChatGPT was the first of its kind. But there was a long history of chatbots that came before it. We are at the start of a golden age of chatbots and generative AI but we also have a long way to go.

Coming soon

Monitoring railway assets with computer vision

A European railway network provider needed to transform its manual track inspection process to make it more efficient, cost effective and crucially, more accurate. Valcon, an expert in computer vision – a data driven software and machine learning solution – was brought in to develop an automated railway track inspection system. As well as driving down costs, the new system has improved the accuracy of inspections, improved safety and reduced the need for track closures.

Data in airports – harnessing data for security lines optimisation

Following a turbulent few years in the travel sector, an international airport was struggling with surging post pandemic travel flows, whilst managing with significantly reduced staff numbers. One key problem was the airport’s security process – major queues were developing and it was becoming a significant bottleneck in the airport’s daily functioning. The airport thought that data might be the solution to security woes. Valcon was hired to build a data blueprint of the security process, to help identify problematic areas and come up with solutions.

The answer to solving financial crime lies in data

Financial crime is the scourge of the global economy, costing over $2trillion annually. Financial criminals have traditionally been one step ahead of the banks, who have struggled with legacy systems, the complexity of the global financial system and adhering to regulatory pressures. The answer to fighting financial crime – and being compliant – lies in data. Data science, data engineering and effective data management have a vital role to play.

Pricing predictions through machine learning and predictive analytics for leading automotive repair organisation

Many organisations follow an unstructured approach to pricing, with humans making decisions based on poor data or worse, on opinion. Valcon has a pricing approach that creates hundreds of customer segments based on historical data and important pricing influencers, like the weather. 

Pricing advice is supplied to decision makers via a pricing app or engine. With this information, Valcon customers can dynamically price their products and services and can benefit from improved margins, quicker decisions and being able to balance short term customer wins vs long term customer retention.  

Manufacturers, fuel distributors and retailers have successfully implemented our approach.

I need to improve on my sustainability agenda… data solutions in place?

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The importance of telling the right story with Data

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Ho data helps our patients

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Data platforms in every form come and go, are some of the there to stay?

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Always working on moving the right Data in the right direction

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How banks (should) use their Data

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Helping our government on complex dossiers with our Data Management and Data Science professionals

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We actively share our knowledge and learn from each other to become thought leaders

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We actively share our knowledge and learn from each other to become thought leaders

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Learn more on how Microsoft contributes to the world of Data

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Can the 4 green dots really help me?

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Together with our remote colleagues we offer scalable high quality Data teams

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We train our consultants and Customers to be the best in Data

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We welcome everyone, stimulate diversity and provide a safe and fun working environment

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We believe in a sustainable business

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We are honest, transparent and dare to be authentic

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We are humble about what we know and always as questions

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We co-create solutions with our clients

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We are bold in our belief that nothing is impossible

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We enjoy our work and promote a positive environment

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